Gaia@AIP Services

hosted by the Leibniz-Institute for Astrophysics Potsdam (AIP)

Welcome to Gaia@AIP services!

Launched in December 2013, Gaia is destined to create the most accurate map yet of the Milky Way. By making accurate measurements of the positions and motions of stars in the Milky Way, it will answer questions about the origin and evolution of our home galaxy.

The first data release (2016) contains three-dimensional positions and two-dimensional motions of a subset of two million stars. The second data release (2018) increases that number to over 1.6 Billion. Gaia’s measurements are as precise as planned, paving the way to a better understanding of our galaxy and its neighborhood.

The AIP hosts the Gaia data as one of the external data centers along with the main Gaia archive maintained by ESAC.

Welcome to the new Gaia@AIP website

In preparation for the upcoming second data release we updated Gaia@AIP to the new version of our Daiquiri framework. We also switched from MariaDB to PostgreSQL for the underlying database system.

We migrated your personal accounts and the metadata of all your jobs to the new system, but due to the changes to the database system we only restored the result tables querying GDR1. More information is about the migration is given here.

Gaia second data release (GDR2)

The second data release of the Gaia mission was published on 25 April 2018. As with the first release, the data was simultaneously released through all Partner Data Centres including Gaia@AIP. More information is available at the ESA Gaia archive.

Gaia first data release (GDR1)

The first release catalog includes positions and G-band magnitudes for more than a billion sources. The five-parameter astrometric solution (positions, parallaxes and proper motions) is available for over 2 million stars that are shared between Gaia and Tycho-2 and Hipparcos catalogs. More information about the release can be found here.

The data is stored in a PostgreSQL database system. You can use the query interface to query the tables of the database directly using ADQL or SQL. We also prepared a set of examples for you to get started.

This work has made use of data from the European Space Agency (ESA) mission Gaia, processed by DPAC. Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement.